Michael E. Locasto

Artificial Intelligence · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #21,286 of 35,345 by trust here, #15,004 by citations
• Computer Networks and Communications — 29 citations into it; #4,059 of 9,886 by trust here, #2,358 by citations
• Signal Processing — 25 citations into it; #3,834 of 7,572 by trust here, #1,958 by citations
• Information Systems — 12 citations into it
• Privacy & Security — 9 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Michael E. Locasto trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ke Wang
2. Salvatore J. Stolfo
3. Leo Breiman
4. Thomas G. Dietterich
5. Pedro M. Domingos
6. Christopher Krügel
7. James Newsome
8. Gabriela F. Cretu-Ciocarlie
9. Prahlad Fogla

Who trusts Michael E. Locasto overall

1. Battista Biggio
2. Pavel Laskov
3. Giorgio Fumera
4. Gabriela F. Cretu-Ciocarlie
5. Marius Kloft

Papers from Michael E. Locasto's perspective

Ordered by how strongly the researchers Michael E. Locasto trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automated Worm Fingerprinting (USENIX Symposium on Operating Systems Design and Implementation)
2. Bagging Predictors
3. A sense of self for Unix processes
4. Address Obfuscation: An Efficient Approach to Combat a Broad Range of Memory Error Exploits (USENIX Security Symposium)
5. Anomalous Payload-Based Network Intrusion Detection
6. Polygraph: automatically generating signatures for polymorphic worms
7. Service specific anomaly detection for network intrusion detection (ACM Symposium on Applied Computing)
8. Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software (Network and Distributed System Security Symposium)
9. Mimicry attacks on host-based intrusion detection systems
10. A decision-theoretic generalization of on-line learning and an application to boosting

Their papers

• Casting out Demons: Sanitizing Training Data for Anomaly Sensors (2008) — 257 citations
• Adaptive Anomaly Detection via Self-calibration and Dynamic Updating (2009) — 46 citations
• On the infeasibility of modeling polymorphic shellcode (2007) — 169 citations